Company
DeepSeek
DeepSeek is the Chinese lab whose low-cost, open-weight models rival far more expensive frontier systems.
DeepSeek plans 160,000 Huawei Ascend chips for Inner Mongolia site
Bloomberg reported the order would create one of the largest known clusters of Huawei AI chips, used to run models rather than train them.
DeepSeek's V4-Pro went GA in silence, then got a lot more expensive
A quiet pricing-page edit and a four-day-later price rise of up to 1,100% reveal more about DeepSeek's cost position than either fact does alone.
DeepSeek's V4-Flash is cheapest well-known AI model to run, study finds
Artificial Analysis found the Chinese model costs 3 cents per test, versus $1.86 for GPT-5.6 Sol and $3.15 for Claude Fable 5
OpenAI cut Luna by 80% — and told you exactly how it could afford to
A model that helped optimise its own serving stack funded an 80% price cut three weeks after launch. The efficiency story is real; the timing is competitive.
Kimi K3 and the open-weights escalation: what 2.8 trillion parameters actually buys
Moonshot published the largest set of open weights ever released. The benchmark story is genuinely strong; the deployment story is why the frontier labs can still sleep.
US firms shift routine AI work to cheaper Chinese open models
Coinbase, DoorDash and Airbnb are routing engineering and code tasks to Moonshot, Z.ai and DeepSeek models to cut costs, Fortune reported.
The end of tokenmaxxing: why AI buyers are routing to cheaper open-weight models
The assumption that intelligence could be metered by the token, and that usage would only rise, has quietly become negotiable.
The 2026 open-weight surge, explained
A year of downloadable models that narrowed the gap with the closed frontier — mostly from China.
DeepSeek V4: what the architecture shift actually signals
A 1.6-trillion-parameter open model at a fraction of the closed-frontier price — but the engineering story beneath it is more durable than the benchmark.